Inspiration
We wanted to experiment with Machine Learning and wanted to do a project that would actually have an impact on people's lives.
What it does
This reads in sign language through a camera and prints out the corresponding English letters.
How we built it
We trained a dataset using Google Cloud AutoML and then did all of the backend in python to make sure the computer vision library would work well with our ML algorithm.
Challenges we ran into
Our biggest challenge was trying to use OpenCV to work in python with our ML algorithm.
Accomplishments that we're proud of
We are proud of being able to have our project recognize hand signs and being able to output the correct letter in english.
What we learned
We learned a lot about using the Google cloud framework, and we gained a better understanding of computer vision in python.
What's next for SignLanguageTranslator
We want to bring this application to mobile devices so that it would be very user-friendly.
Built With
- ai
- computer-vision
- google-cloud-automl
- machine-learning
- python
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